Aspect |
UI Automation (UI Agent) |
Enterprise Agents (Agent Builder) |
Primary Purpose |
Automate precise and resilient UI-based interactions within applications or web pages |
Automate and orchestrate complex, end-to-end business processes across multiple systems, apps, and workflows |
Scope of Automation |
Specific, focused UI interactions (e.g., data entry, form filling, data extraction) |
Broader automation involving multiple steps, decisions, and coordination across various systems |
Level of Autonomy |
Micro-agent approach: contextually intelligent, but limited to the task at hand |
Highly autonomous: capable of reasoning, decision-making, and managing complex scenarios |
Interaction Channels |
Primarily User Interface (UI)-centric tasks and interactions (clicking, typing, selecting, data extraction) |
UI, APIs, human-in-the-loop interactions, integrations with external systems, and conversational interactions |
Role of AI |
AI used primarily for resilient UI interaction (dynamic selectors, semantic targeting, adaptable UI workflows) |
Advanced AI-driven capabilities: conversational agents, intelligent decision-making, advanced orchestration |
Task Complexity Supported |
Low-to-medium complexity: repetitive, clearly-defined UI tasks |
Medium-to-high complexity: processes requiring dynamic decisions, complex logic, and orchestration |
Development Experience |
Simple, prompt-based, low-code/no-code development directly in UiPath Studio |
Low-code visual agent orchestration, configuration, and logic-driven workflows in Agent Builder |
Typical Customer Scenarios |
Form automation, dynamic web-page interaction, robust data extraction, and data entry scenarios |
Employee onboarding/offboarding, customer support automation, invoice processing, intelligent document processing, customer-facing virtual assistants |